AI for Business & Finance Certificate ProgramNEW

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AI for Business & Finance Certificate Program


Overview

A Unique Collaboration With Wall Street Prep

Participant Profile

Business Analysts & Financial Analysts

  • FP&A Analyst
  • Business Analyst
  • Operations Analyst
  • Marketing Analyst
  • Product Manager

Business and financial analysts optimize processes, develop strategies, and provide actionable insights by analyzing data and forecasting trends, primarily working in divisions like FP&A, operations, and strategy within industries such as finance, healthcare, and technology. By leveraging AI tools for scenario modeling, automation, and predictive analytics, they enhance decision-making and improve efficiency across organizational functions.
 

Investment Analysts & Portfolio Managers

  • IB Analyst/Associate
  • Private Equity Analyst
  • Wealth Manager/Investment Advisor
  • Quantitative Analyst
  • Hedge Fund Analyst
  • Credit & Equity Research Analyst

People who perform investment analysis evaluate assets, forecast market trends, and optimize portfolios by leveraging data and financial models, primarily working in roles like equity research, private equity, and hedge funds within industries such as finance, asset management, and venture capital. AI enhances their work by automating data analysis, uncovering insights from alternative data sources, and improving accuracy in financial modeling, risk assessment, and investment decision-making.

Data Analysts & Data Scientists

  • Data Analyst
  • Data Scientist
  • Business Intelligence Analyst
  • Data Engineer
  • Machine Learning Engineer

Data analysts interpret and process large data sets to uncover trends (statistics and predictive modeling), create reports (data visualizations), and support decision-making (dashboard creation) across a variety of visions in finance, marketing, operations, and IT and span industries such as technology, finance, retail, and healthcare. AI and predictive analytics are revolutionizing the toolkit of data analysts - automating data cleaning, uncovering hidden patterns, and enables the delivery of faster, more actionable insights that drive business objectives.

Risk, Compliance & Treasury Professionals

  • Compliance Analyst
  • Risk Analyst
  • Treasury Analyst
  • Anti-Money Laundering (AML)
  • Credit Risk Analyst
  • Fraud Detection Specialist

People who work in risk, compliance, and treasury at banks manage financial risks, ensure regulatory compliance, and oversee liquidity and capital allocation to maintain financial stability. AI enhances their work by automating risk assessments, detecting anomalies for fraud prevention, and optimizing cash flow and capital management through predictive analytics and real- time monitoring.

Tech Professionals in Finance

  • Software Engineer (Finance)
  • Machine Learning Engineer (Finance)
  • Full Stack Developer
  • NLP Engineer
  • Blockchain Developer

Tech professionals who build applications for finance design and develop tools like trading platforms, fraud detection systems, and financial APIs, primarily working in roles such as software development, machine learning, and blockchain engineering within fintech and banking. This program helps tech & ops teams better understand business needs when leveraging AI to automates processes, enhances security, and enables advanced analytics for better decision-making in financial operations.

Students and Career Switchers

Hands-on AI skills are in incredibly high demand for virtually every industry and role in business and finance. The ability to demonstrate a practical, hands-on AI skillset gives students and career switchers a huge competitive edge in recruiting and interviews.

Learning Approach

Program Curriculum

AI Foundations for Business & Finance

Understand AI fundamentals, key tools, and applications in finance.

  • Overview of AI, machine learning, and generative AI
  • How businesses leverage AI tools (chatbots, APIs, automation)
  • Key trends and opportunities in AI-driven finance
  • Preview of case studies and applications
     

Faculty

Charles Daniel Guetta, Associate Professor of Professional Practice, Columbia Business School Executive Education

Charles Daniel Guetta

Associate Professor of Professional Practice

Ciamac C Moallemi - William Von Mueffling Professor of Business

Ciamac C. Moallemi

William Von Mueffling Professor of Business

Malek Ben Sliman | Adjunct Associate Professor of Business | Columbia Business School Executive Education

Malek Ben Sliman

Adjunct Associate Professor of Business
Marketing Division

Olivier Toubia, Glaubinger Professor of Business, Marketing Division, Columbia Business School Executive Education

Olivier Toubia

Glaubinger Professor of Business, Marketing Division

Stijn Van Nieuwerburgh, Faculty Co-Director, Paul Milstein Center for Real Estate, Columbia Business School

Stijn G. Van Nieuwerburgh

Earle W. Kazis and Benjamin Schore Professor of Real Estate, Finance Division and Faculty Co-Director, Paul Milstein Center for Real Estate, Columbia Business School

Guest Speakers

Eric Glyman, Co-Founder & CEO, Ramp and Guest Speaker at Columbia Business School Executive Education

Eric Glyman

Co-Founder & CEO, Ramp

Yu Yu: Director of Data Science, BlackRock and Guest Speaker at Columbia Business School Executive Education

Yu Yu

Director of Data Science, BlackRock

David Wu: AI Head of Product, Morgan Stanley and Guest Speaker at Columbia Business School Executive Education

David Wu

AI Head of Product, Morgan Stanley

Iro Tasitsiomi: Head of AI, T. Rowe Price and Guest Speaker at Columbia Business School Executive Education

Iro Tasitsiomi

Head of AI, T. Rowe Price

Andy Uttley: Head of Business Data, Capital Group and Guest Speaker at Columbia Business School Executive Education

Andy Uttley

Head of Business Data, Capital Group

Brooker Belcourt: GM of Finance Vertical, Perplexity and a Guest Speaker at Columbia Business School Executive Education

Brooker Belcourt

GM of Finance Vertical, Perplexity

Marily Nika: Gen AI Product Lead - Voice Intelligence, Google and a Guest Speaker at Columbia Business School Executive Education

Marily Nika

Gen AI Product Lead - Voice Intelligence, Google

Richa Singh: Head of AI, Lexington Partners and a Guest Speaker at Columbia Business School Executive Education

Richa Singh

Head of AI, Lexington Partners

Networking Events & Program Benefits

For Employers: Empower Your Team to Lead with AI

FAQs

How often are programs offered?

Programs will be offered three times each year. Cohorts will begin in July, November, and March.

How much time will it take to complete this certificate?

The course is designed to run for eight weeks, with a recommended workload of 8-10 hours of lectures, live sessions, and assignments per week.

What languages will the program be offered in?
 

This program is offered in English only.

How do I register for this program?

You can register for the program at any time through our Enrollment Form.

How much does the program cost?

Program tuition is $4,800. Tuition can be paid in full or in 5 monthly payments.

 Do you offer tuition assistance?

Tuition assistance will be available for every cohort. Use our Tuition Assistance form to apply.

What is the program refund policy?

This program is non-refundable.

Who can I contact for additional questions?

If you have any additional questions, please reach out to our enrollment team at enrollment@columbia.wallstreetprep.com.